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Flight Risk to Safety Net: The Complications of Monitoring Employee Behavior

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Employee turnover is a costly problem for organizations. The loss of employees, particularly those who are highly skilled and experienced, can result in significant costs associated with recruitment, training, and lost productivity. In addition, employee turnover can lead to a decline in morale among remaining employees, as well as a loss of institutional knowledge that can impact the organization's long-term success. To address this problem, organizations are turning to data science to help predict and prevent employee turnover. Advancements in data science have made it possible to accumulate and analyze a variety of data points that can indicate the likelihood that a valued employee is contemplating resigning. One approach that has been used is workforce behavior analytics. This approach involves the analysis of employee data to identify patterns and trends that may indicate a likelih

Coding in the Crystal Ball: Predicting the Future of Programming

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The world of coding is constantly evolving, with new technologies and trends shaping the way developers create software. From low-code platforms to AI assistants, these innovations are transforming the industry and opening up new possibilities for programmers. Let us take an operational pause and take inventory of the key trends that are likely to have a significant impact on the future of software development. From No-Code to Pro-Code: Weighing the Trade-offs of Low-Code Development Low-code and no-code platforms have gained significant traction in recent years, allowing developers to create software applications without the need for extensive coding knowledge. These platforms offer pre-built components, visual interfaces, and drag-and-drop functionality that simplifies the coding process. With the rise of low-code and no-code platforms, companies can now develop software faster, cheaper, and with

The Fine Print of Revenue-Based Licensing: How Software Vendors are Stealing from You

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In the world of corporate America, there is a particular breed of individual who would be drawn to a software application with a revenue-based pricing model. This type of person is someone who is confident, often arrogant, and most certainly narcissistic. These are the same individuals who would look at the price tag of a luxury car and think to themselves, “that’s a bargain,” without ever considering how much money they are actually spending. The software vendor who offers a revenue-based pricing model is operating under the bold ideology that any increase in the customer’s revenue is directly related to the use of their software. This is an incredibly arrogant assumption and one that is not always backed up by reality. It takes more than just software to make a business successful, but the software vendor seems to believe that their software is the magic bullet. The people who sign off on such an a